Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Introducing Cloud Provider Observability in Grafana Cloud | Demo | Grafana Labs

Learn how multi-cloud monitoring just got easier with Cloud Provider Observability in Grafana Cloud. In this video, you'll get glimpse at how the new app can enhance your observability strategy for all your major cloud providers. Plus you'll get a quick walk-through of the app.

What Is Full-Stack Observability?

Monitoring used to be so easy. Servers had names and lived down the hall, or across the street. If things weren’t working, you could turn them on and off again. Database filling up? Just throw another hard drive in there. Too many simultaneous requests? Rack another server and install a cache. Fast forward a couple decades, and things have gotten much more complicated.

Supercharging Engineer Productivity with Real World AI

That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job. He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases.

Webinar Recap: Taking Web Performance to the Next Level

In the webinar, Taking Web Performance to the Next Level, experts from Catchpoint and Akamai discussed how businesses can optimize web performance to enhance user experience, protect revenue, and stay competitive. Hosted by Piril Kavlak, Director of Product Marketing at Catchpoint, the session showcased the recently announced incorporation of WebPageTest into Catchpoint’s Internet Performance Monitoring (IPM) platform, real-world success stories, and a preview of upcoming features.

;( Your PC has a problem...LM Envision pinpointed the issue for IT teams immediately

The recent CrowdStrike outage highlights the urgent need for robust observability solutions and reliable IT infrastructure. On that Friday, employees started their days with unwelcome surprises. They struggled to boot up their systems, and travelers, including some of our own, faced disruptions in their journeys. These personal frustrations and inconveniences were just the beginning.

Clear and efficient IT resource management with Resource Explorer

Resource Explorer, part of LogicMonitor Envision platform, is an innovative resource management and visualization tool that helps you navigate the ever-growing number of resources in your hybrid cloud environments. In today’s dynamic IT landscape, where environments are increasingly complex and distributed, effective resource management is crucial.

How to aggregate metrics but retain critical data: Introducing Exemptions in Adaptive Metrics

When you hear about Adaptive Metrics in Grafana Cloud, all signs point to how it’s a game changer. Adaptive Metrics, which aggregates unused and partially used metrics into lower cardinality versions, has delivered a 35% reduction in metrics costs on average for more than 1,200 organizations. Companies have also spoken candidly about the cost savings they gained from the feature.

Multi-cloud monitoring made easy: monitor AWS, Microsoft Azure, and Google Cloud services all in one app

Managing multi-cloud environments often means juggling different monitoring tools for each provider, leading to increased complexity and operational overhead. To solve for that, we’re excited to introduce Cloud Provider Observability — an application for monitoring AWS, Microsoft Azure, and Google Cloud services, all in Grafana Cloud.

How to monitor your Kubernetes metrics server

In this article, we will examine a Kubernetes metrics server and its uses. We will also learn how to set one up and use it to monitor Kubernetes metrics. Finally, we will explore using Hosted Graphite by MetricFire to monitor Kubernetes metrics. To easily get started with monitoring Kubernetes clusters, check out our tutorial on using the Telegraf agent as a Daemonset to forward node/pod metrics to a data source and use that data to create custom dashboards and alerts.